Free Microsoft DP-100 Exam Dumps

MultipleChoice

You are evaluating, a completed binary classification machine learning model.

You need to use the precision as the evaluation metric.

Which visualization should you use?

Hotspot

You are using the Azure Machine Learning Service to automate hyper par a meter exploration of your neural network classification model.

You must define the hyper parameter space to automatically tune hyper parameters using random sampling according to following requirements:

* Learning rate must be selected from a normal distribution with a mean value of 10 and a standard deviation of 3.

* Batch size must be 16, 32 and 64.

* Keep probability must be a value selected from a uniform distribution between the range of 0.05 and 0.1.

You need to use the par am .sampling method of the Python API for the Azure Machine Learning Service. How should you complete the code segment? To answer, select the appropriate Options in the answer area.

NOTE: Each correct selection is worth one point.

Hotspot

You are performing a classification task in Azure Machine learning Studio.

You must prepare balanced testing and training samples based on a provided data set.

Warning samples based on a provided data set.

You need to split the data with a 0.75:0.25.

Which value should you use for each parameter? To answer, select the appropriate options m the answer area.

NOTE: Each correct selection is worth one point.

Hotspot

You are tuning a hyperparameter for an algorithm. The following table shows a data set with different hyperparameter, training error, and validation errors.

DragDrop

You configure a Deep Learning Virtual Machine for Windows.

You need to recommend tools and frameworks to perform the following:

Build deep rwur.il network (DNN) models.

Perform interactive data exploration and visualization.

Which tools and frameworks should you recommend? To answer, drag the appropriate tools to the correct tasks. Each tool may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Hotspot

You have a dataset contains 2,000 rows. You arc building a machine learning classification model by using Azure Machine Learning Studio. You add a Partition and Sample module to the experiment.

You need to configure the module. You must meet the following requirements:

* Divide the data into subsets.

* Assign the rows into folds using a round-robin method.

* Allow rows in the dataset to be reused.

How should you configure the module? To answer select the appropriate Options m the dialog box in the answer area.

NOTE: Each correct selection is worth one point.

Hotspot

You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. The product category will always be one of the following:

*Bikes

*Cars

*Vans

*Boats

You are building a regression model using the scikit-learn Python package.

You need to transform the text data to be compatible with the scikit-learn Python package.

How should you complete the code segment? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

DragDrop

You configure a Deep Learning Virtual Machine for Windows.

You need to recommend tools and frameworks to perform the following:

*Build deep neural network (DNN) models

*Perform interactive data exploration and visualization

Which tools and frameworks should you recommend? To answer, drag the appropriate tools to the correct tasks. Each tool may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Hotspot

You are using the Azure Machine Learning Service to automate hyperparameter exploration of your neural network classification model.

You must define the hyperparameter space to automatically tune hyperparameters using random sampling according to following requirements:

*The learning rate must be selected from a normal distribution with a mean value of 10 and a standard deviation of 3.

*Batch size must be 16, 32 and 64.

*Keep probability must be a value selected from a uniform distribution between the range of 0.05 and 0.1.

You need to use the param_sampling method of the Python API for the Azure Machine Learning Service.

How should you complete the code segment? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

MultipleChoice

Your team is building a data engineering and data science development environment.

The environment must support the following requirements:

*support Python and Scala

*compose data storage, movement, and processing services into automated data pipelines

*the same tool should be used for the orchestration of both data engineering and data science

*support workload isolation and interactive workloads

*enable scaling across a cluster of machines

You need to create the environment.

What should you do?